Google Cloud Next 2023
Foundation Sponsorship-Booth #234. Next'23 is our global exhibition of insipiration, innovation, and education. It's where decision makers, developers, and anyone passionate about an accessible, scalable, socially responsible cloud come together to share challenges, solutions, 10x ideas, and game-changing technologies.
Cloud Talk Theatre Session 1 - "Accelerate Data Science in Google Cloud with Logical Data Architecture"
Tuesday, August 29th at 4:05pm in the Cloud Talk 1 theater
Sapta Sengupta, Director of Product Marketing
Accelerate Data Science in Google Cloud with Logical Data Architecture While many organizations are moving their critical workloads to Google BigQuery, Spanner and Cloud SQL and so on, many other third-party on-premises (such as SAP, Oracle) or cloud data sources (such as Salesforce or Marketo) retain important data that are critical for advanced analytics and data science. A logical data architecture powered by data virtualization technology facilitates real-time data access and management across a myriad of data sources for a single view of enterprise data and speeds up the advanced analytics and data science.
In this session you will learn:
- The challenges of generating business insights in a hybrid cloud environment
- What is a logical data management architecture and how does that work
Cloud Talk Theater session 2 - "Empowering Data Scientists and Data Analysts with AI driven analytics"
Wednesday, August 30th at 2:50pm in the Cloud Talk 1 theater
Ravi Shankar, SVP and CMO
Empowering Data Scientists and Data Analysts with AI driven analytics The fast-growing data landscape involving Google BigQuery, Spanner, Google Storage drives initiatives to automate many aspects of the analytics lifecycle, such as data access, enablement of semantics, BI and others. Automation has become an integral part of our daily lives in the enterprise data fabric. The AI-driven initiative to automate data access and provide guidance to the right data assets, correlates with the initiatives of the data scientists to get access to more curated data.
In this session, you’ll learn:
- The need for AI driven automation and associated challenges
- Logical Data Fabric architecture for AI initiatives
- Empowering the Data Science team for faster decision making
